sglang
https://github.com/sgl-project/sglang
Python
SGLang is a high-performance serving framework for large language models and multimodal models.
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- Issues
- [Refactor] multimodal: [sglang-miles] [MM refactor 5/9] Add a token-space multimodal processor
- [Feat] [AMD] mori: add XGMI data plane for single-node PD
- [Fix] [XPU] spec: Start NEXTN/MTP drafts on XPU and stop silent greedy verify
- [Perf] LoRA: bound csgmv CUDA-graph segment grids by token count
- [Feat] nemotron-asr: Nemotron 3.5 ASR (RNN-T) transcription
- [Perf] disagg/nixl: Opt-in warm-up transfer to each decode peer at registration
- [CI] [AMD] miles-nightly: Split the 8-GPU suite into two jobs
- [Refactor] multimodal: [sglang-miles] [MM refactor 6/9] Serve token-space processors behind --enable-token-space-processor
- [Doc] [AMD] cookbook: Add the Qwen3.5 MI355X FP8 agentic recipe covering the GPU-resident and HiCache bands
- [Bug] Mooncake PD disaggregation: DSA_TAIL raises "DSA tail slot index missing" when Prefill/Decode seq_len diverge on last_chunk
- Docs
- Python not yet supported